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ai-agent

SkillOpt: Optimize LLM Agents

Founders get reusable natural-language skills with SkillOpt, a tool for frozen LLM agents, backed by 4.3k+ GitHub stars.
intermediateโฑ 30 minutes๐Ÿ’ต Free + LLM API costs
12,775 stars1,185 forksPythonQuality 8/10Updated 7/14/2026100% free ยท open source
What it is

Train reusable natural-language skills for frozen LLM agents using pre-defined rules.

What you can make with it

Reusable skills like answering customer FAQs or generating personalized product recommendations.

How it helps

SkillOpt helps founders and developers create high-quality skills without manually training LLM agents.

Real use case example

"A founder wants to build a chatbot that answers customer questions. They use SkillOpt to create a reusable skill for answering common questions about their product. After 30 minutes of setup, the founder tests the chatbot and finds that it answers 80% of customer queries accurately."

If you're new

Pick up SkillOpt when you want to try out AI skills for the first time.

If you're senior

Reach for SkillOpt when you need to optimize existing skills and create new ones for your frozen LLM agents.

Common confusion cleared up

You might think you need to restart or retrain your LLM agent after using SkillOpt, but the tool creates reusable skills that don't require manual retraining.

Pairs with
Claude APINatural Language Processing (Text Analysis)Existing LLM Agents
Why we list it on WorkflowStacks: This marketplace includes SkillOpt because it's a free and open-source tool from a well-known AI creator.
What it does

Automatically refines and improves AI language skills by iteratively editing and validating model response trajectories

When to use it
  • โ€ขBuilding AI agents that need precise, repeatable language performance
  • โ€ขCreating specialized language models for complex task domains
  • โ€ขDeveloping self-improving conversational AI with consistent output quality
Quick start
  1. 1Install SkillOpt via pip: pip install skillopt
  2. 2Define your target language skill and performance criteria
  3. 3Run trajectory optimization to generate validated skill improvements
  4. 4Export best performing skill configuration using best_skill.md
Ready-to-paste prompt
skillopt optimize --model gpt-3.5 --skill customer_support --validate_metric clarity
Saves to your device

Topics

agent-skills
self-evolving-agents
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

12
top-level files
13
folders
22.6M
repo size
MIT
license
Key files
index.html
README.md
requirements.txt
skillopt.html
File tree
.cursor-plugin/
blog/
ckpt/
configs/
data/
docs/
plugins/
scripts/
skillopt/
skillopt_sleep/
skillopt_webui/
skillopt-assets/
tests/
.env.example
.gitignore
CHANGELOG.md
CONTRIBUTING.md
index.html
LICENSE
mkdocs.yml
pyproject.toml
README.md
requirements.txt
SECURITY.md
Quick Actions
Details
Creator
microsoft
Language
Python
Category
ai-agent
Published
5/8/2026

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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